First Steps for AI in Business

First steps for businesses exploring AI

Where to start and what matters most

Enhancing the use of Artificial Intelligence is on the strategic agenda for business and organisational leaders.

Yet despite this surge in interest, many organisations are still struggling to take the first meaningful step. Research consistently shows that while adoption is high, clear value and return on investment remain elusive for many firms.

So where should you begin?

Below are the practical first steps businesses should take to understand how AI could be useful in their organisation.

1. Start with business problems, not AI tools

One of the most common mistakes is starting with technology rather than outcomes.

Many organisations are exploring AI to:

Improve data analysis and forecasting
Enhance customer experience
Reduce operational costs

But the key question is not “Where can we use AI?” It is: “What business problem (or opportunity) are we trying to solve?”

Start by identifying:

Repetitive, manual tasks
Bottlenecks in processes
Areas where decisions rely heavily on data

AI is most effective when applied to specific, measurable problems, not as a general capability.

2. Assess your current level of AI readiness

Before investing in AI tools, organisations need to understand their starting point.

Many businesses are still early in their journey:

A small minority of businesses are fully embracing AI
Most are adopting it selectively or experimenting

Key areas to assess:

Data quality and accessibility
Existing digital tools and systems
Internal skills and knowledge
Governance, ethics and risk awareness

A lack of expertise remains the number one barrier to AI adoption, making this step critical.

3. Identify high value, low risk use cases

Successful organisations do not try to transform everything at once.

Instead, they start with:

Incremental experimentation and learning
Document and content generation
Research and analysis support
Enhancing productivity

Through targeting specific use cases organisations can:

Deliver quick wins
Build confidence and competence
Provide measurable outcomes
Manage governance and ethical risks

This approach enables focus on targeted, high impact areas first rather than full scale transformation.

4. Focus on people, not just technology

A consistent finding across research is that AI success is not driven by tools alone. Businesses that succeed:

Invest in training and upskilling
Embed AI into roles and workflows
Support employees through change

Organisations that prioritise workforce development are significantly more likely to realise value from AI.

AI adoption is ultimately a business change challenge, not just a technical one.

5. Put governance and trust in place early

Concerns around AI are real and growing. Top risks identified by organisations include:

Errors and AI hallucinations
Data privacy breaches
Legal and reputational risks

To address this, organisations should:

Define clear policies for AI use
Establish accountability and oversight
Ensure compliance with regulations
Adopt a holistic approach to AI adoption and implementation

Building trust early enables faster and safer adoption.

6. Move from experimentation to structured learning

Many organisations are stuck in experimentation mode. Research shows that a lack of understanding is one of the biggest barriers to progress, with firms often “paralysed” by uncertainty rather than technology limitations.

The organisations that move forward successfully do one thing differently: they invest in structured learning and capability building.

This allows them to:

Make informed decisions about AI
Identify realistic use cases
Avoid costly mistakes
Scale adoption with confidence

Why skills are the real starting point for AI success

The evidence is clear. AI is not just about tools or platforms.

It is about:

Understanding what AI can and cannot do
Knowing where AI offers value
Applying AI effectively in business contexts

Without this foundation, organisations risk:

Wasted investment
Low adoption
Limited return on value

The organisations that succeed will not be those that adopt AI fastest, but those that understand it best and apply it most effectively to deliver strategic priorities.

Building AI capability for your organisation

If your organisation is at the stage of asking:

“Where do we start with AI?”
“What does AI mean for our roles and processes?”
“How do we apply AI in a practical, business-focused way?”

Then building the right knowledge base is essential. The BCS Foundation Certificate in Artificial Intelligence delivered by AssistKD is designed specifically for business professionals, not technical specialists.

It provides: